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Analyzing the impact of small solar water heating systems on peak demand and on emissions in the Brazilian context

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  • Giglio, T.
  • Santos, V.
  • Lamberts, R.

Abstract

This study presents a methodology to measure the impact of solar heating systems, on reducing peak demand and on avoided emissions, when applied in low-income housing projects. To this end, a real-time monitoring system was implemented over a year in five clusters representative of a heterogeneous socioeconomic context in new housing subsidized with solar water heating system through the national program “My House, My Life”. The results showed an expressive contribution of the system in reducing the maximum peak demand, obtaining, on average, a 64% reduction in relation to the electric showerhead, predominantly used in the country. The cumulative energy savings of 577 kWh per year resulted in an average of 250 kgCO2 avoided per housing unit. The extrapolation of the data to 224,000 units already delivered by the national program would result in an economy of 56,089 tCO2 per year. This study demonstrates the importance of measurement as a strategic tool in public policies for energy efficiency and in the estimation of emissions associated with greenhouse gases. The solar heating system positions itself as an important energy efficiency policy for Brazil, which minimizes the demand for thermoelectric plants during peak hours and postpones investments with new power generation plants.

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  • Giglio, T. & Santos, V. & Lamberts, R., 2019. "Analyzing the impact of small solar water heating systems on peak demand and on emissions in the Brazilian context," Renewable Energy, Elsevier, vol. 133(C), pages 1404-1413.
  • Handle: RePEc:eee:renene:v:133:y:2019:i:c:p:1404-1413
    DOI: 10.1016/j.renene.2018.08.104
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    1. Vine, Edward & Hamrin, Jan, 2008. "Energy savings certificates: A market-based tool for reducing greenhouse gas emissions," Energy Policy, Elsevier, vol. 36(1), pages 467-476, January.
    2. Tsilingiridis, G. & Martinopoulos, G., 2010. "Thirty years of domestic solar hot water systems use in Greece – energy and environmental benefits – future perspectives," Renewable Energy, Elsevier, vol. 35(2), pages 490-497.
    3. Calili, Rodrigo F. & Souza, Reinaldo C. & Galli, Alain & Armstrong, Margaret & Marcato, André Luis M., 2014. "Estimating the cost savings and avoided CO2 emissions in Brazil by implementing energy efficient policies," Energy Policy, Elsevier, vol. 67(C), pages 4-15.
    4. Giglio, Thalita & Lamberts, Roberto & Barbosa, Miriam & Urbano, Mariana, 2014. "A procedure for analysing energy savings in multiple small solar water heaters installed in low-income housing in Brazil," Energy Policy, Elsevier, vol. 72(C), pages 43-55.
    5. Bettle, R. & Pout, C.H. & Hitchin, E.R., 2006. "Interactions between electricity-saving measures and carbon emissions from power generation in England and Wales," Energy Policy, Elsevier, vol. 34(18), pages 3434-3446, December.
    6. Walter, Travis & Price, Phillip N. & Sohn, Michael D., 2014. "Uncertainty estimation improves energy measurement and verification procedures," Applied Energy, Elsevier, vol. 130(C), pages 230-236.
    7. Rodrigo F. Calili & Reinaldo C. Souza & Alain Galli & Margaret Armstrong & André Luis M. Marcato, 2014. "Estimating the cost savings and avoided CO2 emissions in Brazil by implementing energy efficient policies," Post-Print hal-01110915, HAL.
    8. Halawa, E. & Chang, K.C. & Yoshinaga, M., 2015. "Thermal performance evaluation of solar water heating systems in Australia, Taiwan and Japan – A comparative review," Renewable Energy, Elsevier, vol. 83(C), pages 1279-1286.
    9. Naspolini, Helena F. & Rüther, Ricardo, 2016. "The effect of measurement time resolution on the peak time power demand reduction potential of domestic solar hot water systems," Renewable Energy, Elsevier, vol. 88(C), pages 325-332.
    10. Gill, Nicholas & Osman, Peter & Head, Lesley & Voyer, Michelle & Harada, Theresa & Waitt, Gordon & Gibson, Chris, 2015. "Looking beyond installation: Why households struggle to make the most of solar hot water systems," Energy Policy, Elsevier, vol. 87(C), pages 83-94.
    11. Arnaoutakis, Nektarios & Souliotis, Manolis & Papaefthimiou, Spiros, 2017. "Comparative experimental Life Cycle Assessment of two commercial solar thermal devices for domestic applications," Renewable Energy, Elsevier, vol. 111(C), pages 187-200.
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    1. Sabina Kordana-Obuch & Mariusz Starzec, 2023. "Experimental Development of the Horizontal Drain Water Heat Recovery Unit," Energies, MDPI, vol. 16(12), pages 1-24, June.

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